Name
Abstract | ||
|---|---|---|
Snakes as originally proposed by Kass, Witkin and Terzopoulous are active contour models which minimise an expression of energy to locate image fea- tures. The original formulation involves hundreds of state variables and does not submit to a real-time implementation. We explore the use of a B-spline model of the feature to reduce the state space of the problem. Using a coarse to fine feature search and Lagrangian Dynamics we demonstrate a real-time, parallel implementation of B-spline snakes on a network of transputers. |
Year | Venue | Keywords |
|---|---|---|
1991 | BMVC | state space,real time,active contour model |
Field | DocType | Citations |
Active contour model,Computer vision,Computer graphics (images),Feature (computer vision),Computer science,Artificial intelligence,State variable,State space,Lagrangian dynamics | Conference | 13 |
PageRank | References | Authors |
6.86 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rupert W. Curwen | 1 | 62 | 13.26 |
| Andrew Blake | 2 | 11620 | 1451.07 |
| Roberto Cipolla | 3 | 9413 | 827.88 |